Mattia Cerrato

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 21

Top Topics

Levenberg Marquardt

Top Venues

Publications

Cedric Derstroff, Mattia Cerrato, Jannis Brugger, Jan Peters, Stefan Kramer
Peer Learning: Learning Complex Policies in Groups from Scratch via Action Recommendations. AAAI (2024)
Mattia Cerrato, Marius Köppel, Philipp Wolf, Stefan Kramer
10 Years of Fair Representations: Challenges and Opportunities. CoRR (2024)
Roberto Esposito, Mattia Cerrato, Marco Locatelli
Partitioned least squares. Mach. Learn. 113 (9) (2024)
Cedric Derstroff, Mattia Cerrato, Jannis Brugger, Jan Peters, Stefan Kramer
Peer Learning: Learning Complex Policies in Groups from Scratch via Action Recommendations. CoRR (2023)
Shuyi Yang, Mattia Cerrato, Dino Ienco, Ruggero G. Pensa, Roberto Esposito
FairSwiRL: fair semi-supervised classification with representation learning. Mach. Learn. 112 (9) (2023)
Stefan Kramer, Mattia Cerrato, Saso Dzeroski, Ross D. King
Automated Scientific Discovery: From Equation Discovery to Autonomous Discovery Systems. CoRR (2023)
Samuele Fonio, Lorenzo Paletto, Mattia Cerrato, Dino Ienco, Roberto Esposito
Hierarchical priors for Hyperspherical Prototypical Networks. ESANN (2023)
Mattia Cerrato, Marius Köppel, Roberto Esposito, Stefan Kramer
Invariant Representations with Stochastically Quantized Neural Networks. AAAI (2023)
Mattia Cerrato, Alesia Vallenas Coronel, Marius Köppel
The Case for Correctability in Fair Machine Learning. EWAF (2023)
Shuyi Yang, Mattia Cerrato, Dino Ienco, Ruggero G. Pensa, Roberto Esposito
Fair Semi-supervised Representation Learning for Tabular Data Classification. SEBD (2023)
Lukas-Malte Bammert, Stefan Kramer, Mattia Cerrato, Ernst Althaus
Privacy-Preserving Learning of Random Forests Without Revealing the Trees. DS (2023)
Mattia Cerrato, Marius Köppel, Alexander Segner, Stefan Kramer
Fair Group-Shared Representations with Normalizing Flows. CoRR (2022)
Mattia Cerrato, Alesia Vallenas Coronel, Marius Köppel, Alexander Segner, Roberto Esposito, Stefan Kramer
Fair Interpretable Representation Learning with Correction Vectors. CoRR (2022)
Mattia Cerrato, Marius Köppel, Roberto Esposito, Stefan Kramer
Invariant Representations with Stochastically Quantized Neural Networks. CoRR (2022)
Mattia Cerrato, Marius Köppel, Alexander Segner, Stefan Kramer
Fair Interpretable Learning via Correction Vectors. CoRR (2022)
Alessandro Mazzei, Mattia Cerrato, Roberto Esposito, Valerio Basile
Ranking Algorithms for Word Ordering in Surface Realization. Inf. 12 (8) (2021)
Mattia Cerrato, Roberto Esposito, Laura Li Puma
Constraining deep representations with a noise module for fair classification. SAC (2020)
Mattia Cerrato, Marius Köppel, Alexander Segner, Roberto Esposito, Stefan Kramer
Fair pairwise learning to rank. DSAA (2020)
Roberto Esposito, Mattia Cerrato, Marco Locatelli
Partitioned Least Squares. CoRR (2020)
Mattia Cerrato, Edoardo Arnaudo, Valentina Gliozzi, Roberto Esposito
Taxonomic and Whole Object Constraints: A Deep Architecture. CogSci (2019)
Roberto Esposito, Mattia Cerrato, Marco Locatelli
Partitioned Least Squares. AI*IA (2019)